1
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Xu Y, Smith P, Qin Z. Sustainable bioenergy contributes to cost-effective climate change mitigation in China. iScience 2024; 27:110232. [PMID: 39021785 PMCID: PMC11253528 DOI: 10.1016/j.isci.2024.110232] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/14/2024] [Accepted: 06/06/2024] [Indexed: 07/20/2024] Open
Abstract
Bioenergy development is critical for achieving carbon neutrality. Biomass residues from agriculture, forest, and livestock manure provide substantial bioenergy resources in China, but their availability, climate, and economic impacts have not been evaluated systematically. Here we assess biomass sustainability, bioenergy potential, greenhouse gas emissions (GHG) reduction, and cost-effectiveness using an integrated data-modeling approach. Nationally, only 27% of biomass can be used for sustainable bioenergy production, but can contribute to significant climate change mitigation with optimized regional utilization. The annual GHG reduction can reach 1.0 Gt CO2e for bioenergy, or 1.4 Gt CO2e for bioenergy with carbon capture and storage (BECCS), which is comparable to total terrestrial ecosystem carbon sinks in China. The abatement cost varies regionally but is lower than many other carbon removal technologies. Our findings reveal region-specific bioenergy pathways that contribute to carbon neutrality, and encourage future assessments to explore factors including technological advances and carbon markets.
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Affiliation(s)
- Yifan Xu
- School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, and Key Laboratory of Tropical Atmosphere-Ocean System (Ministry of Education), Sun Yat-sen University, Zhuhai 519000, China
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, AB24 3UU Aberdeen, UK
| | - Zhangcai Qin
- School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, and Key Laboratory of Tropical Atmosphere-Ocean System (Ministry of Education), Sun Yat-sen University, Zhuhai 519000, China
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2
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Sun Y, Wen G, Dai H, Feng Y, Azaele S, Lin W, Zhou F. Quantifying the Resilience of Coal Energy Supply in China Toward Carbon Neutrality. RESEARCH (WASHINGTON, D.C.) 2024; 7:0398. [PMID: 39015205 PMCID: PMC11249919 DOI: 10.34133/research.0398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 05/10/2024] [Indexed: 07/18/2024]
Abstract
Facing the challenge of achieving the goal of carbon neutrality, China is decoupling the currently close dependence of its economy on coal use. The energy supply and demand decarbonization has substantial influence on the resilience of the coal supply. However, a general understanding of the precise impact of energy decarbonization on the resilience of the coal energy supply is still lacking. Here, from the perspective of network science, we propose a theoretical framework to explore the resilience of the coal market of China. We show that the processes of increasing the connectivity and the competition between the coal enterprises, which are widely believed to improve the resilience of the coal market, can undermine the sustainability of the coal supply. Moreover, our results reveal that the policy of closing small-sized coal mines may not only reduce the safety accidents in the coal production but also improve the resilience of the coal market network. Using our model, we also suggest a few practical policies for minimizing the systemic risk of the coal energy supply.
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Affiliation(s)
- Yongzheng Sun
- School of Mathematics,
China University of Mining and Technology, Xuzhou 221116, China
- School of Safety Engineering,
China University of Mining and Technology, Xuzhou 221116, China
| | - Guanghui Wen
- School of Mathematics,
Southeast University, Nanjing 210096, China
| | - Haifeng Dai
- School of Mathematics,
China University of Mining and Technology, Xuzhou 221116, China
- School of Cyber Science and Engineering,
Southeast University, Nanjing 210096, China
| | - Yu Feng
- China Coal Transportation and Distribution Association, Beijing 100160, China
| | - Sandro Azaele
- Department of Physics and Astronomy “G. Galileo”,
University of Padova, Via F. Marzolo 8, Padova 35131, Italy
| | - Wei Lin
- Research Institute of Intelligent Complex Systems, School of Mathematical Sciences, LMNS, and SCMS,
Fudan University, Shanghai 200433, China
- MOE Frontiers for Brain Science, Shanghai 20032, China
- Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
| | - Fubao Zhou
- School of Safety Engineering,
China University of Mining and Technology, Xuzhou 221116, China
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3
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Sun J, Yan Y, Zhang B, Liu W, Dou S, Wang X, Huang J, Chen D, Wang C, Han X, Pan Q. Changes in productivity partitioning induced by precipitation extremes increase inaccuracy of grassland carbon estimation. GLOBAL CHANGE BIOLOGY 2024; 30:e17404. [PMID: 38967125 DOI: 10.1111/gcb.17404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 06/04/2024] [Accepted: 06/11/2024] [Indexed: 07/06/2024]
Abstract
The fraction of net primary productivity (NPP) allocated to belowground organs (fBNPP) in grasslands is a critical parameter in global carbon cycle models; moreover, understanding the effect of precipitation changes on this parameter is vital to accurately estimating carbon sequestration in grassland ecosystems. However, how fBNPP responds to temporal precipitation changes along a gradient from extreme drought to extreme wetness, remains unclear, mainly due to the lack of long-term data of belowground net primary productivity (BNPP) and the fact that most precipitation experiments did not have a gradient from extreme drought to extreme wetness. Here, by conducting both a precipitation gradient experiment (100-500 mm) and a long-term observational study (34 years) in the Inner Mongolia grassland, we showed that fBNPP decreased linearly along the precipitation gradient from extreme drought to extreme wetness due to stronger responses in aboveground NPP to drought and wet conditions than those of BNPP. Our further meta-analysis in grasslands worldwide also indicated that fBNPP increased when precipitation decreased, and the vice versa. Such a consistent pattern of fBNPP response suggests that plants increase the belowground allocation with decreasing precipitation, while increase the aboveground allocation with increasing precipitation. Thus, the linearly decreasing response pattern in fBNPP should be incorporated into models that forecast carbon sequestration in grassland ecosystems; failure to do so will lead to underestimation of the carbon stock in drought years and overestimation of the carbon stock in wet years in grasslands.
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Affiliation(s)
- Jiamei Sun
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yue Yan
- Center for Science Communication and Achievement Transformation, National Natural Science Foundation of China, Beijing, China
| | - Bin Zhang
- College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, China
| | - Wei Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Shande Dou
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xiaoliang Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Jianhui Huang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Dima Chen
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Changhui Wang
- College of Grassland Science, Shanxi Agricultural University, Taigu, China
| | - Xingguo Han
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, Hebei University, Baoding, China
| | - Qingmin Pan
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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4
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Kumar A, Mishra S, Singh NK, Yadav M, Padhiyar H, Christian J, Kumar R. Ensuring carbon neutrality via algae-based wastewater treatment systems: Progress and future perspectives. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 360:121182. [PMID: 38772237 DOI: 10.1016/j.jenvman.2024.121182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 04/24/2024] [Accepted: 05/13/2024] [Indexed: 05/23/2024]
Abstract
The emergence of algal biorefineries has garnered considerable attention to researchers owing to their potential to ensure carbon neutrality via mitigation of atmospheric greenhouse gases. Algae-derived biofuels, characterized by their carbon-neutral nature, stand poised to play a pivotal role in advancing sustainable development initiatives aimed at enhancing environmental and societal well-being. In this context, algae-based wastewater treatment systems are greatly appreciated for their efficacy in nutrient removal and simultaneous bioenergy generation. These systems leverage the growth of algae species on wastewater nutrients-including carbon, nitrogen, and phosphorus-alongside carbon dioxide, thus facilitating a multifaceted approach to pollution remediation. This review seeks to delve into the realization of carbon neutrality through algae-mediated wastewater treatment approaches. Through a comprehensive analysis, this review scrutinizes the trajectory of algae-based wastewater treatment via bibliometric analysis. It subsequently examines the case studies and empirical insights pertaining to algae cultivation, treatment performance analysis, cost and life cycle analyses, and the implementation of optimization methodologies rooted in artificial intelligence and machine learning algorithms for algae-based wastewater treatment systems. By synthesizing these diverse perspectives, this study aims to offer valuable insights for the development of future engineering applications predicated on an in-depth understanding of carbon neutrality within the framework of circular economy paradigms.
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Affiliation(s)
- Amit Kumar
- School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
| | - Saurabh Mishra
- Institute of Water Science and Technology, Hohai University, Nanjing China, 210098, China.
| | - Nitin Kumar Singh
- Department of Chemical Engineering, Marwadi University, Rajkot, Gujarat, India.
| | - Manish Yadav
- Central Mine Planning and Design Institute Limite, Bhubaneswar, India.
| | | | - Johnson Christian
- Environment Audit Cell, R. D. Gardi Educational Campus, Rajkot, Gujarat, India.
| | - Rupesh Kumar
- Jindal Global Business School (JGBS), O P Jindal Global University, Sonipat, 131001, Haryana, India.
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5
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Cai Q, Han P, Pan G, Xu C, Yang X, Xu H, Ruan D, Zeng N. Evaluation of Low-Cost CO 2 Sensors Using Reference Instruments and Standard Gases for Indoor Use. SENSORS (BASEL, SWITZERLAND) 2024; 24:2680. [PMID: 38732786 PMCID: PMC11085240 DOI: 10.3390/s24092680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/09/2024] [Accepted: 04/16/2024] [Indexed: 05/13/2024]
Abstract
CO2 monitoring is important for carbon emission evaluation. Low-cost and medium-precision sensors (LCSs) have become an exploratory direction for CO2 observation under complex emission conditions in cities. Here, we used a calibration method that improved the accuracy of SenseAir K30 CO2 sensors from ±30 ppm to 0.7-4.0 ppm for a CO2-monitoring instrument named the SENSE-IAP, which has been used in several cities, such as in Beijing, Jinan, Fuzhou, Hangzhou, and Wuhan, in China since 2017. We conducted monthly to yearly synchronous observations using the SENSE-IAP along with reference instruments (Picarro) and standard gas to evaluate the performance of the LCSs for indoor use with relatively stable environments. The results show that the precision and accuracy of the SENSE-IAP compared to the standard gases were rather good in relatively stable indoor environments, with the short-term (daily scale) biases ranging from -0.9 to 0.2 ppm, the root mean square errors (RMSE) ranging from 0.7 to 1.6 ppm, the long-term (monthly scale) bias ranging from -1.6 to 0.5 ppm, and the RMSE ranging from 1.3 to 3.2 ppm. The accuracy of the synchronous observations with Picarro was in the same magnitude, with an RMSE of 2.0-3.0 ppm. According to our evaluation, standard instruments or reliable standard gases can be used as a reference to improve the accuracy of the SENSE-IAP. If calibrated daily using standard gases, the bias of the SENSE-IAP can be maintained within 1.0 ppm. If the standard gases are hard to access frequently, we recommend a calibration frequency of at least three months to maintain an accuracy within 3 ppm.
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Affiliation(s)
- Qixiang Cai
- State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
- Qiluzhongke Institute of Carbon Neutrality, Jinan 250100, China
| | - Pengfei Han
- State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
- Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Guang Pan
- Shandong Jinan Ecological and Environmental Monitoring Center, Jinan 250102, China; (G.P.); (X.Y.)
| | - Chi Xu
- State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China;
| | - Xiaoyu Yang
- Shandong Jinan Ecological and Environmental Monitoring Center, Jinan 250102, China; (G.P.); (X.Y.)
| | - Honghui Xu
- Zhejiang Lin’an Atmospheric Background National Observation and Research Station, Hangzhou 311300, China;
| | - Dongde Ruan
- Zhejiang Hangzhou Ecological and Environmental Monitoring Center, Hangzhou 310012, China;
| | - Ning Zeng
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA;
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA
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6
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Yu Z, Liu S, Li H, Liang J, Liu W, Piao S, Tian H, Zhou G, Lu C, You W, Sun P, Dong Y, Sitch S, Agathokleous E. Maximizing carbon sequestration potential in Chinese forests through optimal management. Nat Commun 2024; 15:3154. [PMID: 38605043 PMCID: PMC11009231 DOI: 10.1038/s41467-024-47143-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 03/21/2024] [Indexed: 04/13/2024] Open
Abstract
Forest carbon sequestration capacity in China remains uncertain due to underrepresented tree demographic dynamics and overlooked of harvest impacts. In this study, we employ a process-based biogeochemical model to make projections by using national forest inventories, covering approximately 415,000 permanent plots, revealing an expansion in biomass carbon stock by 13.6 ± 1.5 Pg C from 2020 to 2100, with additional sink through augmentation of wood product pool (0.6-2.0 Pg C) and spatiotemporal optimization of forest management (2.3 ± 0.03 Pg C). We find that statistical model might cause large bias in long-term projection due to underrepresentation or neglect of wood harvest and forest demographic changes. Remarkably, disregarding the repercussions of harvesting on forest age can result in a premature shift in the timing of the carbon sink peak by 1-3 decades. Our findings emphasize the pressing necessity for the swift implementation of optimal forest management strategies for carbon sequestration enhancement.
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Affiliation(s)
- Zhen Yu
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
- Key Laboratory of Forest Ecology and Environment, China's National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, 100091, Beijing, China.
| | - Shirong Liu
- Key Laboratory of Forest Ecology and Environment, China's National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, 100091, Beijing, China.
| | - Haikui Li
- Key Laboratory of Forest Management and Growth Modelling, China's National Forestry and Grassland Administration, Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, 100091, Beijing, China
| | - Jingjing Liang
- Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA
| | - Weiguo Liu
- College of Forestry, Northwest agriculture and Forestry University, Yangling, 712100, China
| | - Shilong Piao
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, 100871, Beijing, China
| | - Hanqin Tian
- Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts, MA, 02467, USA
| | - Guoyi Zhou
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Chaoqun Lu
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, 50011, USA
| | - Weibin You
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Pengsen Sun
- Key Laboratory of Forest Ecology and Environment, China's National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, 100091, Beijing, China
| | - Yanli Dong
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Evgenios Agathokleous
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
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7
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Hong Y, Yang L, You X, Zhang H, Xin X, Zhang Y, Zhou X. Effects of light quality on microalgae cultivation: bibliometric analysis, mini-review, and regulation approaches. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-31192-2. [PMID: 38015404 DOI: 10.1007/s11356-023-31192-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 11/19/2023] [Indexed: 11/29/2023]
Abstract
The ever-increasing concern for energy shortages and greenhouse effect has triggered the development of sustainable green technologies. Microalgae have received more attention due to the characteristics of biofuel production and CO2 fixation. From the perspective of autotrophic growth, the optimization of light quality has the potential to promote biomass production and bio-component accumulation in microalgae at low cost. In this study, bibliometric analysis was used to describe the basic features, identify the hotspots, and predict future trends of the research related to the light quality on microalgae cultivation. In addition, a mini-review referring to regulation methods of light quality was provided to optimize the framework of research. Results demonstrated that China has the greatest interest in this area. The destination of most research was to obtain biofuels and high-value-added products. Both blue and red lights were identified as the crucial spectrums for microalgae cultivation. However, sunlight is the most affordable light resource, which could not be fully utilized by microalgae through the photosynthetic process. Hence, some regulation approaches (e.g., dyes, plasmonic scattering, and carbon-based quantum dots) are proposed to increase the proportion of beneficial spectrum for enhancement of photosynthetic efficiency. In summary, this review introduces state-of-the-art research and provides theoretical guidance for light quality optimization in microalgae cultivation to obtain more benefits.
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Affiliation(s)
- Yongyuan Hong
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Libin Yang
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
| | - Xiaogang You
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Haigeng Zhang
- Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200092, China
| | - Xiaying Xin
- Department of Civil Engineering, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Yalei Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Xuefei Zhou
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
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Wang Y, Yang S, Liu J, Wang J, Xiao M, Liang Q, Ren X, Wang Y, Mou H, Sun H. Realization process of microalgal biorefinery: The optional approach toward carbon net-zero emission. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 901:165546. [PMID: 37454852 DOI: 10.1016/j.scitotenv.2023.165546] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
Increasing carbon dioxide (CO2) emission has already become a dire threat to the human race and Earth's ecology. Microalgae are recommended to be engineered as CO2 fixers in biorefinery, which play crucial roles in responding climate change and accelerating the transition to a sustainable future. This review sorted through each segment of microalgal biorefinery to explore the potential for its practical implementation and commercialization, offering valuable insights into research trends and identifies challenges that needed to be addressed in the development process. Firstly, the known mechanisms of microalgal photosynthetic CO2 fixation and the approaches for strain improvement were summarized. The significance of process regulation for strengthening fixation efficiency and augmenting competitiveness was emphasized, with a specific focus on CO2 and light optimization strategies. Thereafter, the massive potential of microalgal refineries for various bioresource production was discussed in detail, and the integration with contaminant reclamation was mentioned for economic and ecological benefits. Subsequently, economic and environmental impacts of microalgal biorefinery were evaluated via life cycle assessment (LCA) and techno-economic analysis (TEA) to lit up commercial feasibility. Finally, the current obstacles and future perspectives were discussed objectively to offer an impartial reference for future researchers and investors.
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Affiliation(s)
- Yuxin Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China
| | - Shufang Yang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Jin Liu
- Laboratory for Algae Biotechnology and Innovation, College of Engineering, Peking University, Beijing 100871, China
| | - Jia Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China
| | - Mengshi Xiao
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China
| | - Qingping Liang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China
| | - Xinmiao Ren
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China
| | - Ying Wang
- Marine Science research Institute of Shandong Province, Qingdao 266003, China.
| | - Haijin Mou
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.
| | - Han Sun
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China.
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9
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Shang R, Chen JM, Xu M, Lin X, Li P, Yu G, He N, Xu L, Gong P, Liu L, Liu H, Jiao W. China's current forest age structure will lead to weakened carbon sinks in the near future. Innovation (N Y) 2023; 4:100515. [PMID: 37786507 PMCID: PMC10542009 DOI: 10.1016/j.xinn.2023.100515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/13/2023] [Indexed: 10/04/2023] Open
Abstract
Forests are chiefly responsible for the terrestrial carbon sink that greatly reduces the buildup of CO2 concentrations in the atmosphere and alleviates climate change. Current predictions of terrestrial carbon sinks in the future have so far ignored the variation of forest carbon uptake with forest age. Here, we predict the role of China's current forest age in future carbon sink capacity by generating a high-resolution (30 m) forest age map in 2019 over China's landmass using satellite and forest inventory data and deriving forest growth curves using measurements of forest biomass and age in 3,121 plots. As China's forests currently have large proportions of young and middle-age stands, we project that China's forests will maintain high growth rates for about 15 years. However, as the forests grow older, their net primary productivity will decline by 5.0% ± 1.4% in 2050, 8.4% ± 1.6% in 2060, and 16.6% ± 2.8% in 2100, indicating weakened carbon sinks in the near future. The weakening of forest carbon sinks can be potentially mitigated by optimizing forest age structure through selective logging and implementing new or improved afforestation. This finding is important not only for the global carbon cycle and climate projections but also for developing forest management strategies to enhance land sinks by alleviating the age effect.
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Affiliation(s)
- Rong Shang
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Jing M. Chen
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
- Department of Geography and Planning, University of Toronto, Toronto, Ontario M5S 3G3, Canada
| | - Mingzhu Xu
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Xudong Lin
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Peng Li
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Guirui Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Peng Gong
- Institute for Climate and Carbon Neutrality, Department of Geography and Department of Earth Sciences, University of Hong Kong, Hong Kong 999077, China
| | - Liangyun Liu
- International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
| | - Han Liu
- Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing 100035, China
| | - Wenzhe Jiao
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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10
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Zhang Z, Hao M, Yu Q, Dun X, Xu J, Gao P. The effect of thinning intensity on the soil carbon pool mediated by soil microbial communities and necromass carbon in coastal zone protected forests. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 881:163492. [PMID: 37062318 DOI: 10.1016/j.scitotenv.2023.163492] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/20/2023] [Accepted: 04/09/2023] [Indexed: 06/01/2023]
Abstract
Thinning is a common forest management measure that can effectively maintain the ecological service function of protected forests. However, the effect of thinning on the soil carbon (C) pool remains uncertain. In particular, we lack an understanding of the complete link between thinning and microbial communities, microbial necromass C, and consequently, soil C pools in coastal zone protected forests. In this study, three thinning intensities, i.e., a control treatment (CT, i.e., no thinning), light thinning (LT) and heavy thinning (HT), were established in three types of forests (Quercus acutissima Carruth, Pinus thunbergii Parl and mixed Quercus acutissima Carruth and Pinus thunbergii Parl, i.e., QAC, PTP and QP, respectively). Two years after the completion of thinning, we investigated the changes in the soil organic carbon (SOC) fractions, soil microbial community and soil microbial necromass C in the surface layer (0-20 cm) and thoroughly evaluated the relationship between the potential change in SOC and the microbial community. Compared with CT, there was no change in the SOC content under LT and HT, but thinning conducted in QAC increased the proportion of mineral-associated organic C (MAOC) in SOC. Moreover, both LT and HT reduced the soil carbon lability (CL) in the QAC and QP forests. Different thinning intensities changed the soil microbial community structure, and most of the variation was explained by thinning and the soil physicochemical properties. The proportion of soil bacterial and fungal necromass C to SOC increased with increasing thinning intensity. The content of soil bacterial and fungal necromass C was mainly controlled by the relative abundance of the core phylum (relative abundance>10 %). Thinning affected the soil C pool by affecting the content of soil bacterial and fungal necromass C, but their accumulation pathways was different. The results showed that thinning was beneficial to the stability of SOC. The microbial C pool, total organic C pool and even bacterial and fungal C pools should be distinguished when studying the soil C pool, which can effectively deepen our understanding of the mechanism by which soil microorganisms affect the soil C pool.
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Affiliation(s)
- Zixu Zhang
- Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Forestry College, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Ming Hao
- Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Forestry College, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Qinghui Yu
- Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Forestry College, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Xingjian Dun
- Shandong Academy of Forestry, Ji'nan, Shandong 250014, China.
| | - Jingwei Xu
- Shandong Academy of Forestry, Ji'nan, Shandong 250014, China
| | - Peng Gao
- Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Forestry College, Shandong Agricultural University, Tai'an, Shandong 271018, China; Key Laboratory of Crop Water Physiology and Drought-Tolerance Germplasm Improvement of Ministry of Agriculture, Shandong Agricultural University, Taian, Shandong 271018, China.
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Cai W, He N, Xu L, Li M, Wen D, Liu S, Sun OJ. Spatial-temporal variation of the carbon sequestration rate of afforestation in China: Implications for carbon trade and planning. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 884:163792. [PMID: 37127160 DOI: 10.1016/j.scitotenv.2023.163792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/03/2023]
Abstract
Afforestation and reforestation (A&R) are nature-based and cost-effective solutions for enhancing terrestrial carbon sinks and facilitating faster carbon neutrality. However, the lack of hierarchical spatial-temporal maps for the carbon sequestration rate (CSR) from A&R at the national scale impedes the scientific implementation of forest management planning to a large extent. Here, we assessed the spatial-temporal CSR per area for A&R at the provincial, prefectural, and county levels in China using a forest carbon sequestration model under three climate scenarios. Results showed that the CSR of vegetation (CSRVeg), soil (CSRSoil), and the ecosystem (CSREco) significantly varied across space and time. In China, the CSRVeg, CSRSoil, and CSREco were primarily regulated by the spatial variations in temperature and precipitation. Additionally, CSRVeg was found to be positively influenced by precipitation and temperature, whereas temperature had a negative influence on CSRSoil. Therefore, the differences between the CSRVeg and CSRSoil should be emphasized in the future. These information on the spatiotemporal variation of CSR of A&R (vegetation, soil, and ecosystem) on unit area basis and at levels of province, prefecture, and county in China, can be used as a comparable protocol to estimate the carbon sinks of A&R at different scales. Overall, these hierarchical spatiotemporal maps for CSR on A&R may help to identify priority areas of forest management planning and carbon trade policy to achieve faster carbon neutrality for China in the future.
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Affiliation(s)
- Weixiang Cai
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ecological Research, Northeast Forestry University, Harbin 150040, China.
| | - Li Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mingxu Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of Sciences, Daxing'anling 165200, China
| | - Ding Wen
- GeoScene Information Technology Co., Ltd, Beijing 100028, China
| | - Shirong Liu
- Key Laboratory of Forest Ecology and Environment, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China
| | - Osbert Jianxin Sun
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
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Ma T, Wang T, Yang D, Yang S. Impacts of vegetation restoration on water resources and carbon sequestration in the mountainous area of Haihe River basin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161724. [PMID: 36708819 DOI: 10.1016/j.scitotenv.2023.161724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/05/2023] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
The mountainous region of the Haihe River basin (MHRB) plays an important role in the water resource supply of its nearby mega-cities, including Beijing and Tianjin, and large areas of cropland. With the implementation of afforestation projects in recent decades, vegetation and carbon (C) uptake have greatly increased in the MHRB. In addition, the annual runoff has significantly declined, threatening regional water security. The trade-off relationship between water yield and C uptake in the MHRB remains unknown. This study employed a biogeochemical model (Biome-BGC) to simulate the natural vegetation dynamics and gross primary productivity (GPP) during 1982-2019 driven by climate forcing. A distributed hydrological model (geomorphology-based hydrological model, GBHM) was adopted to assess the impact of vegetation restoration on the hydrological processes. The results indicated that the leaf area index in the MHRB increased significantly (P < 0.01) during 1982-2019, which led to evapotranspiration increase and runoff (R) reduction. Under the influence of vegetation restoration, both the GPP and the water use efficiency (WUE) increased significantly in the MHRB during 2000-2019, however, the improvement of WUE decreased with the aridity index increasing. Our results showed that vegetation restoration can improve C sequestration efficiency in the MHRB and that the trade-off between water yield and C sequestration should be considered in planning ecological projects to achieve C neutrality.
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Affiliation(s)
- Teng Ma
- State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
| | - Taihua Wang
- State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
| | - Dawen Yang
- State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China.
| | - Shuyu Yang
- State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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Dong J, Cai B, Zhang S, Wang J, Yue H, Wang C, Mao X, Cong J, Guo F. Closing the Gap between Carbon Neutrality Targets and Action: Technology Solutions for China's Key Energy-Intensive Sectors. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:4396-4405. [PMID: 36942443 DOI: 10.1021/acs.est.2c08171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Facing significant carbon emissions annually, China requires a clear decarbonization strategy to meet its climate targets. This study presents a MESSAGEix-CAEP model to explore Chinese decarbonization pathways and their cost-benefit under two mitigation scenarios by establishing connections between five energy-intensive sectors based on energy and material flows. The results indicated the following: 1) Interaction and feedback between sectors should not be disregarded. The electrification process of the other four sectors was projected to increase electricity production by 206%, resulting in a higher power demand than current forecasts. 2) The marginal abatement cost to achieve carbon neutrality across all five sectors was 2189 CNY/tCO2, notably higher than current Chinese carbon emission trading prices. 3) The cost-benefit analysis indicates that a more ambitious abatement strategy would decrease the marginal abatement cost and result in a higher net carbon abatement benefit. The cumulative net benefit of carbon reduction was 7.8 trillion CNY under ambitious mitigation scenario, 1.3 trillion CNY higher than that under current Chinese mitigation scenario. These findings suggest that policy-makers should focus on the interaction effects of decarbonization pathways between sectors and strengthen their decarbonization efforts to motivate early carbon reduction.
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Affiliation(s)
- Jinchi Dong
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Bofeng Cai
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Shaohui Zhang
- School of Economics and Management, Beihang University, Beijing 100191, China
- International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria
| | - Jinnan Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Hui Yue
- Center for Energy, Environment & Economy Research, School of Management, Zhengzhou University, Zhengzhou 450001, China
- Copernicus Institute of Sustainable Development, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, Netherlands
| | - Can Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China
| | - Xianqiang Mao
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Jianhui Cong
- School of Economics and Management, Shanxi University, Taiyuan 030000, China
| | - Fei Guo
- International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria
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14
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Yin C, Zhao W, Ye J, Muroki M, Pereira P. Ecosystem carbon sequestration service supports the Sustainable Development Goals progress. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 330:117155. [PMID: 36603272 DOI: 10.1016/j.jenvman.2022.117155] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/13/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Ecosystem carbon sequestration service (ECSS) is the benefits humans derive from the ecosystem carbon sequestration process, which is key to regulating climate, stabilising the natural foundation for development, and supporting the Sustainable Development Goals (SDGs) achievement. However, how ECSS contributes to the SDGs still needs to be discovered. Here, based on downscaling localisation SDG indicators, regression methods, and mechanism analysis, we identified the contribution of ECSS to the SDGs, taking China's Loess Plateau (LP) region as an example. The results showed that the LP made higher progress on resource and environmental SDGs, such as SDGs 13, 12, 6, and 7 (climate, consumption and production, water, and energy) in the last two decades. As for the relationships between ECSS and SDGs, the progress of SDGs 6, 7, 13 and 15 (water, energy, climate, and ecosystems) showed positive linear responses to ECSS. The response of SDGs 1, 4, 8, and 12 (poverty reduction, education, economic growth, and consumption and production) to ECSS showed a threshold when the standardised ECSS value was 0.11. To improve ECSS for a more sustainable ecological foundation underpinning the SDGs, ECSS management should be improved to protect the ecosystem carbon pool and improve carbon sequestration function, as well as to promote the social-ecological co-benefits. This work links carbon sequestration service to sustainable development and can help in leveraging nature's contributions towards carbon neutrality and the 2030 Agenda.
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Affiliation(s)
- Caichun Yin
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Wenwu Zhao
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Jingqiao Ye
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Monica Muroki
- Kenya Forestry Research Institute - Muguga, Department of Socio-Economic Policy and Governance, Nairobi 00200, Kenya
| | - Paulo Pereira
- Environmental Management Center, Mykolas Romeris University, Vilnius 08303, Lithuania
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Tian J, Feng C, Fu G, Fan L, Wang W. Contribution of different types of terrestrial protected areas to carbon sequestration services in China: 1980–2020. Front Ecol Evol 2023. [DOI: 10.3389/fevo.2023.1074410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Exploring the contribution of protected areas to carbon sequestration services is meaningful to enhance the role of protected areas in climate change mitigation globally. However, less attention has been paid to the contribution of different types of protected areas to carbon sequestration services as well as their changes, which is not conducive to provide more effective solutions in the context of future climate change. Here, we identified the status and changes of carbon sequestration in different types of terrestrial protected areas in China and calculated the amount of carbon sequestration in different ecosystems in terrestrial protected areas and in different climatic zones. Our results indicated that carbon sequestration of China’s terrestrial protected areas had shown a significant increasing trend over the past 40 years (1980–2020) (R2 = 0.862, p < 0.05). Among the different types of terrestrial protected areas in China, nature reserves had the greatest carbon sequestration, accounting for 64–66% of the carbon sequestration in China’s terrestrial protected areas from 1980 to 2020. Although the carbon sequestration per unit area of forest parks was the highest among all types of protected areas, the proportion of carbon sequestration of forest parks tended to decrease significantly over the past 40 years. Carbon sequestration of protected areas in the humid zone had been mainly contributed by forest ecosystems, while grassland and desert ecosystems in terrestrial protected areas in regions with low rainfall (e.g., semi-arid and arid) had made more contribution to carbon sequestration services. Our study showed that China’s terrestrial protected areas had played an important role in carbon sequestration over the past 40 years, but there are still some gaps compared to the global level, and the planning and establishment of protected areas need to be further strengthened in the future.
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Zhu XG, Wang J, Han B. Plants for carbon farming and China’s roadmap for carbon neutralization. CHINESE SCIENCE BULLETIN-CHINESE 2022. [DOI: 10.1360/tb-2022-0612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Affiliation(s)
- Josep Peñuelas
- Global Ecology Unit CREAF-CEAB-UAB, Spain
- Center for Ecological Research and Forestry Applications (CREAF), Spain
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